statistics help

Project Description:

i am not looking to have a problem solved based on a specific course or textbook. i am trying to learn more about statistics, so would you be able to provide me with the following?

there are four potential caveats in using variable screening methods to determine the final regression model:

1. high probabilities of type i and type ii errors.

2. no higher-order terms or interactions.

3. nonsensical terms in the model.

4. important independent variables omitted that interact with other xs.

could you explain simple linear regression, multiple regression, and stepwise regression in the context of one of the four caveats listed above and identify the differences between the models and the risks involved in the regression selection process?